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TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets.

, , , and . ICTAI, page 471-478. IEEE, (2019)

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Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem., , and . CoRR, (2019)Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends., , , , and . Int. Trans. Oper. Res., 29 (5): 2735-2736 (2022)Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem., , , and . EMO, volume 13970 of Lecture Notes in Computer Science, page 462-475. Springer, (2023)Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data., , , , , and . CEC, page 1-8. IEEE, (2020)Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem., , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 548-561. Springer, (2022)New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows., , , and . MIC, volume 13838 of Lecture Notes in Computer Science, page 45-60. Springer, (2022)Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems., , and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 155-169. Springer, (2021)Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives., , , and . ICTAI, page 571-578. IEEE, (2018)Special issue on "Stochastic Local Search: Recent developments and trends"., , , , and . ITOR, 26 (6): 2580-2581 (2019)Local Optima Network Sampling for Permutation Flowshop., , and . CEC, page 1131-1138. IEEE, (2021)